Increased Risk Of Heart Failure Research Articles

Genotype predicts heart failure independent of left ventricular ejection fraction and NT-proBNP levels in hypertrophic cardiomyopathy

Abstract Background/Introduction Hypertrophic cardiomyopathy (HCM) is a myocardial disease associated with progression to heart failure. In around 40% of cases, the disease is caused by variants in genes encoding sarcomere proteins. Purpose To evaluate the role of genotype in predicting heart failure (HF) outcomes. Methods In this observational single-centre cohort study, consecutive patients with HCM were assessed for heart failure clinically stratified by genetic status into genotype-elusive which included those with no significant variants (G-) or variants of unknown significance (VUS) and genotype-positive (G+) with pathogenic/likely pathogenic (LP/P) variants. Heart failure endpoint was defined as left ventricular assist device implantation, heart transplantation or heart-failure-related death. The incidence of HF endpoint was compared between genotypes during follow-up using a time-to-event analysis. Results 474 patients (50.9 ±14.5 years, 67.3 males) with HCM (25% with left ventricular (LV) outflow obstruction) were followed for 10.9 years (IQR 5.1-13.5). G+ LP/P patients (201/474 (42.4%)) were younger (45.8. ±14.0 years) compared to G- (225/474 (47.5%), 55.2 ±13.4 years) and VUS (48/474 (10.1%), 52.0 ± 15 years); 29/474 (6.1%) reached the heart failure endpoint. The incidence of heart failure endpoints was 12.4% (25/201) in the G+ LP/P group compared to 1.5% (4/273) in the gene elusive group. A multivariate Cox proportional hazards model including NT-proBNP and LV ejection fraction (LVEF) and genetic status showed that G+ LP/P was associated with increased risk of heart failure outcomes (HR: 5.11, 95% CI: 1.43–18.25, p=0.012). Every 100-unit rise in NT-proBNP was associated with a 41% increase in risk (HR: 1.41, 95% CI: 1.20–1.66, p<0.0001). A one-unit (1%) reduction in LVEF correlated with a 10% increase in heart failure risk (HR: -0.90, 95% CI: 0.87–0.93, p<0.0001). Conclusion(s) Genetic status is a predictor of heart failure outcomes independent of LVEF and NT-proBNP levels in HCM. This underscores the importance of genetic testing in the clinical management of HCM.

Cardiovascular risks of PD1 inhibitor therapy in cancer: impact of prior ischemic events on heart failure - a retrospective cohort study

Abstract Introduction Immune checkpoint inhibitors (ICIs) have transformed cancer therapy, but concerns remain about their cardiac risks. Limited recent basic evidence suggests a possible link between ICIs that target PD1 and adverse cardiac events such as heart failure. Purpose This study explores the connection between PD1 inhibitor therapy and incident heart failure in cancer patients. Methods In our retrospective study at a tertiary medical center, 1,671 cancer patients receiving PD1 inhibitors were analyzed. Individuals with a history of heart failure, who developed myocarditis on PD-1, or had missing data were excluded. Data from pharmacy records and the Research Patient Data Registry provided clinical and ICI-related details. Cases were defined as patients who developed incident heart failure after ICI started. Controls were patients who did not develop incident heart failure after ICI start. Sensitivity analyses, including propensity score matching and comparison with non-ICI-treated cancer patients, ensured result robustness. Multivariate logistic regressions were performed. Results Among 1,671 ICI treated patients, 109 (6.5%) developed heart failure without evidence of myocarditis over a median follow-up of 332.0 days. In both the full cohort and the 3:1 matched cohort (n=380), multivariate logistic regression showed increased odds of incident heart failure in patients with prior ischemic cardiac events: 2.34 (95%CI 1.26-4.16, p=0.005) and 2.11 (95%CI 1.05-4.2, p=0.033) respectively. Among the non-ICI treated cancer patients, multivariate logistic regression found no association between prior ischemic events and incident heart failure (1.23, 95%CI 0.53-2.63, p=0.6), but hypertension showed an association (1.74, 95%CI 1.07-2.87, p=0.027). Conclusion This study emphasizes vigilance for cardiovascular complications in PD1 inhibitor-treated cancer patients. The incidence of heart failure was 6.5% over a follow-up period of less than 1 year. Prior ischemic events correlate with increased heart failure risk, suggesting a need for nuanced patient management. Understanding ICIs' cardiovascular safety is crucial for risk assessment, treatment optimization, and patient well-being.

Beyond resting measurements: exercise pulse pressure and its association with heart failure hospitalization

Abstract Background Pulse pressure (PP), the difference between systolic and diastolic blood pressure, is a known predictor of heart failure (HF). While high resting PP has been linked to increased HF risk, the implications of exercise-induced PP changes remain less understood. This study investigates the contrasting roles of exercise PP in predicting hospitalization for heart failure (hHF). Methods We conducted a retrospective analysis of adults referred for treadmill exercise testing between 2003 and 2012. ΔMaximal BP referred to the BP change from rest to peak exercise. Cox proportional hazards models adjusted for demographic and clinical variables were used to assess the predictive value of PP changes for hHF. Results Among 15,249 participants, 117 (0.7%) were hospitalized for HF over a median follow-up of 112 months. Higher resting PP was significantly associated with an increased risk of hHF, whereas increased Exercise PP was inversely related to hHF risk independently (adjusted HR: 0.76, 95% CI: 0.67-0.86, P<0.001). Conclusions Resting PP and Exercise PP exhibit opposite effects on the risk of heart failure hospitalization. These findings suggest the importance of considering both resting and exercise-induced PP changes in the assessment and management of heart failure risk.

Association of metabolically healthy obesity with risk of heart failure and left ventricular dysfunction among older adults.

Obesity is major cause of heart failure (HF), but it is related with a better prognosis among the elderly. Therefore, we aimed to examine whether metabolically healthy obesity (MHO) in late life increases HF risk and is reflected in impaired left ventricular (LV) function. The participants were grouped into four metabolic phenotypes based on obesity and metabolic status: metabolically healthy non-obesity (MHN), MHO, metabolically unhealthy non-obesity (MUN), metabolically unhealthy obesity (MUO). Association of metabolic phenotypes with LV function was evaluated using multiple linear regression models. And association between metabolic phenotypes and risk of HF was assessed using multivariable logistic regression models. In addition, we validated the association of metabolic phenotypes and HF risk in a separate longitudinal cohort. In the primary cohort of 6335 participant, there were 434 participants diagnosed with HF. Compared to MHN participants, the risk of HF was higher among older individuals with MUN (OR = 1.51 [95% CI: 1.14-1.99]) and MUO (OR = 2.01 [95% CI: 1.39-2.91]), but not older individuals with MHO (OR = 0.86 [95% CI: 0.30-2.43). Regarding to LV function, worse LV diastolic function was noted among MUN and MUO individuals rather than MHO individuals. Older adults with MHO were also not associated with risk of HF in the validation cohort. Among older individuals, the metabolic health status might modify the association of obesity with risk of HF and LV diastolic dysfunction. Worse LV diastolic function and higher risk of HF were just noted in individuals with MUO, but not in those with MHO.

Artemisia argyi mitigates doxorubicin-induced cardiotoxicity by inhibiting mitochondrial dysfunction through the IGF-IIR/Drp1/GATA4 signaling pathway.

Doxorubicin (DOX) is mostly utilized as a wide range of antitumor anthracycline to treat different cancers. The severe antagonistic impacts of DOX on cardiotoxicity constrain its clinical application. Many mechanisms are involved in cardiac toxicity induced by DOX in the human body. Mitochondria is a central part of fatty acid and glucose metabolism. Thus, impaired mitochondrial metabolism can increase heart failure risk, which can play a vital role in cardiomyocyte mitochondrial dysfunction. This study aimed to assess the possible cardioprotective effect of water-extracted Artemisia argyi (AA) against the side effect of DOX in H9c2 cells and whether these protective effects are mediated through IGF-IIR/Drp1/GATA4 signaling pathways. Although several studies proved that AA extract has benefits for various diseases, its cardiac effects have not yet been identified. The H9c2 cells were exposed to 1μM to establish a model of cardiac toxicity. The results revealed that water-extracted AA could block the expression of IGF-IIR/calcineurin signaling pathways induced by DOX. Notably, our results also showed that AA treatment markedly attenuated Akt phosphorylation and cleaved caspase 3, and the nuclear translocation markers NFATC3 and p-GATA4. Using actin staining for hypertrophy, we determined that AA can reduce the effect of mitochondrial reactive oxygen species and cell size. These findings suggest that water-extracted AA could be a suitable candidate for preventing DOX-induced cardiac damage.

Sleep duration and heart failure risk: Insights from a Mendelian Randomization Study.

To investigate the causal relationship between sleep duration and heart failure (HF) in a European population. We focused on the continuous sleep duration of 460,099 European individuals as our primary exposure. Genome-wide significant single nucleotide polymorphisms (SNPs, n = 9851,867) linked to continuous sleep duration were adopted as instrumental variables. The outcome of interest was based on HF events in a European cohort (n = 977,323; with 930,014 controls and 47,309 cases). We employed a two-sample Mendelian randomization (MR) approach to infer causality between sleep duration and the incidence of HF. For validation purposes, an additional cohort of 336,965 European individuals diagnosed with insomnia was selected as a secondary exposure group. Using its SNPs, a subsequent two-sample MR analysis was conducted with the HF cohort to further corroborate our initial findings. Employing the MR methodology, we selected 57 SNPs that are associated with sleep duration, and 24 SNPs that are associated with insomnia as instrumental variables. We discerned a substantial association between genetically inferred sleep duration and HF risk (odds ratio: 0.61; 95% confidence interval: 0.47-0.78, P < .0001). Our subsequent analysis highlighted a pronounced increased HF risk associated with insomnia (odds ratio: 1.54; 95% confidence interval: 1.08-2.17, P < .02). These conclusions were further bolstered by consistent results from sensitivity analyses. Our study suggests a causal linkage between sleep duration and the onset risk of HF in the European population. Notably, shorter sleep durations were associated with a heightened risk of HF.

Effects of spironolactone on exercise blood pressure in patients at increased risk of developing heart failure: report from the HOMAGE trial

None of the spironolactone trials in heart failure (HF) assessed the blood pressure (BP) responses to exercise, while conflicting results were reported for exercise capacity. In the HOMAGE trial, 527 patients at increased HF risk were randomized to usual treatment with or without spironolactone (25–50 mg/day). The current substudy included 113 controls and 114 patients assigned spironolactone, who all completed the incremental shuttle walk test at baseline and months 1 and 9. Quality of life (QoL) was assessed by EQ5D questionnaire. Between-group differences (spironolactone minus control [Δs]) were analyzed by repeated measures ANOVA with adjustment for baseline and, if appropriate, additionally for sex, age and body mass index. Δs in the pre-exercise systolic/diastolic BP were −8.00 mm Hg (95% CI, −11.6 to −4.43)/−0.85 mm Hg (−2.96 to 1.26) at month 1 and −9.58 mm Hg (−14.0 to −5.19)/−3.84 mm Hg (−6.22 to −1.47) at month 9. Δs in the post-exercise systolic/diastolic BP were −8.08 mm Hg (−14.2 to −2.01)/−2.07 mm Hg (−5.79 to 1.65) and −13.3 mm Hg (−19.9 to −6.75)/−4.62 mm Hg (−8.07 to −1.17), respectively. For completed shuttles, Δs at months 1 and 9 were 2.15 (−0.10 to 4.40) and 2.49 (−0.79 to 5.67), respectively. Δs in QoL were not significant. The correlations between the exercise-induced BP increases and the number of completed shuttles were similar in both groups. In conclusion, in patients at increased risk of developing HF, spironolactone reduced the pre- and post-exercise BP, but did not improve exercise capacity or QoL.

The role of venous capacity in fluid retention with endothelin A antagonism: Mathematical modelling of the RADAR trial.

Endothelin-1 (ET-1) receptor A (ETA) antagonists reduce proteinuria and prevent renal outcomes in chronic kidney disease (CKD) patients, but their utility has been limited because of associated fluid retention, resulting in increased heart failure risk. Understanding the mechanisms responsible for fluid retention could result in solutions that preserve renoprotective effects while mitigating fluid retention, but the complexity of the endothelin system has made identification of the underlying mechanisms challenging. We utilized a previously developed mathematical model of ET-1 kinetics, ETA receptor antagonism, kidney function, haemodynamics, and sodium and water homeostasis to evaluate hypotheses for mechanisms of fluid retention with ETA antagonism. To do this, we simulated the RADAR clinical trial of atrasentan in patients with type 2 diabetes and CKD and evaluated the ability of the model to predict the observed decreases in haematocrit, urine albumin creatinine ratio (UACR), mean arterial pressure (MAP), and estimated glomerular filtration rate (eGFR). An effect of ETA antagonism on venodilation and increased venous capacitance was found to be the critical mechanism necessary to reproduce the simultaneous decrease in both MAP and haematocrit observed in RADAR. These findings indicate that fluid retention with ETA antagonism may not be caused by a direct antidiuretic effect within the kidney but is instead be an adaptive response to venodilation and increased venous capacity, which acutely tends to reduce cardiac filling pressure and cardiac output, and that fluid retention occurs in an attempt to maintain cardiac filling and cardiac output.

Upstream alternative polyadenylation in SCN5A produces a short transcript isoform encoding a mitochondria-localized NaV1.5 N-terminal fragment that influences cardiomyocyte respiration.

SCN5A encodes the cardiac voltage-gated Na+ channel, NaV1.5, that initiates action potentials. SCN5A gene variants cause arrhythmias and increased heart failure risk. Mechanisms controlling NaV1.5 expression and activity are not fully understood. We recently found a well-conserved alternative polyadenylation (APA) signal downstream of the first SCN5A coding exon. This yields a SCN5A-short transcript isoform expressed in several species (e.g. human, pig, and cat), though rodents lack this upstream APA. Reanalysis of transcriptome-wide cardiac APA-seq and mRNA-seq data shows reductions in both upstream APA usage and short/full-length SCN5A mRNA ratios in failing hearts. Knock-in of the human SCN5A APA sequence into mice is sufficient to enable expression of SCN5A -short transcript, while significantly decreasing expression of full-length SCN5A mRNA. Notably, SCN5A -short transcript encodes a novel protein (NaV1.5-NT), composed of an N-terminus identical to NaV1.5 and a unique C-terminus derived from intronic sequence. AAV9 constructs were able to achieve stable NaV1.5-NT expression in mouse hearts, and western blot of human heart tissues showed bands co-migrating with NaV1.5-NT transgene-derived bands. NaV1.5-NT is predicted to contain a mitochondrial targeting sequence and localizes to mitochondria in cultured cardiomyocytes and in mouse hearts. NaV1.5-NT expression in cardiomyocytes led to elevations in basal oxygen consumption rate, ATP production, and mitochondrial ROS, while depleting NADH supply. Native PAGE analyses of mitochondria lysates revealed that NaV1.5-NT expression resulted in increased levels of disassembled complex V subunits and accumulation of complex I-containing supercomplexes. Overall, we discovered that APA-mediated regulation of SCN5A produces a short transcript encoding NaV1.5-NT. Our data support that NaV1.5-NT plays a multifaceted role in influencing mitochondrial physiology: 1) by increasing basal respiration likely through promoting complex V conformations that enhance proton leak, and 2) by increasing overall respiratory efficiency and NADH consumption by enhancing formation and/or stability of complex I-containing respiratory supercomplexes, though the specific molecular mechanisms underlying each of these remain unresolved.

Heart failure in patients with congenital heart disease after a cancer diagnosis.

Individuals with congenital heart disease (CHD) are at an increased risk for cancer. As cancer survival rates improve, the prevalence of late side effects, such as heart failure (HF), is becoming more evident. This study aims to evaluate the risk of developing HF following a cancer diagnosis in patients with CHD, compared with those without CHD and with CHD patients who do not have cancer. CHD patients (n=69799) and randomly selected non-CHD controls (n=650406), born in Sweden between 1952 and 2017, were identified from the Swedish National Health Registers and Total Population Register (excluding those with syndromes and transplant recipients). CHD patients who developed cancer (n=1309) were propensity score-matched with non-CHD patients who developed cancer (n=9425), resulting in a cohort of 1232 CHD patients with cancer and 2602 non-CHD controls with cancer (after exclusion of individuals with HF prior to cancer diagnosis). In a separate analysis, CHD patients with cancer were propensity score-matched with CHD patients without cancer (n=68490). A total of 1233 CHD patients with cancer and 2257 CHD patients without cancer were included in the study. Among CHD patients with cancer, 73 (5.9%) developed HF during a mean follow-up time of 8.5±8.7. Comparatively, in the propensity-matched control population, 29 (1.1%) non-CHD cancer patients (mean follow-up time of 7.3±7.5) and 101 (4.5%) CHD patients without cancer (mean follow-up time of 9.9±9.2) developed HF. CHD patients exhibited a significantly higher risk of HF post-cancer diagnosis compared with the non-CHD control group [hazard ratio (HR) 4.39, 95% confidence interval (CI) 2.83-6.81], after adjusting for age at cancer diagnosis and comorbidities. In the analysis between CHD patients with cancer and those without cancer, the results indicated a significantly higher risk of developing HF in CHD patients with cancer (HR 1.53, 95% CI 1.13-2.07). CHD patients face a more than four-fold increased risk of developing HF after a cancer diagnosis compared with cancer patients without CHD. Among CHD patients, the risk of HF is only modestly higher for those with cancer than for those without cancer. This suggests that the increased HF risk in CHD patients with cancer, relative to non-CHD cancer patients, may be more attributable to CHD itself than to cancer treatment-related side effects.

Causal Effect of Atrial Fibrillation on Heart Failure Risk in East Asian Ancestry: ABidirectional Mendelian Randomization Study Using Genome-wide Association Data.

Atrial fibrillation (AF) and heart failure (HF) are prevalent cardiovascular conditions in East Asia, with a complex interrelationship. The directionality of the causal impact of AF on HF risk remains uncertain. This study employs Mendelian randomization (MR) to investigate the potential causal effect of AF on HF. Utilizing summary data from genome-wide association studies (GWAS) within the Medical Research Council Integrative Epidemiology Unit open GWAS database, we analyzed 8180 AF cases and 28 612 controls, alongside 9413 HF cases and 203 040 controls, all of East Asian descent. We conducted MR analysis using the inverse variance weighted (IVW) method, complemented by various sensitivity analyses, including bidirectional MR to assess causality in the reverse direction. Genetically predicted AF was found to be causally associated with an increased risk of HF in East Asian populations (odds ratio = 1.14, 95% CI: 1.10-1.19, P <.001) as per the IVW method. These findings were consistent across multiple MR methods. Sensitivity analyses revealed no significant heterogeneity or pleiotropy. Notably, bidirectional MR analysis showed no causal effect of HF on the risk of developing AF. The MR analysis supports a unidirectional causal relationship between AF and increased HF risk in East Asian individuals. The absence of a reverse causal effect reinforces the importance of maintaining sinus rhythm to mitigate HF risk. Further research is warranted to corroborate these findings and to explore their clinical implications in depth.

Regional differences in heart failure risk in the United Kingdom are partially explained by biological aging.

Heart failure (HF) risk is greater in rural versus urban regions in the United States (US), potentially due to differences in healthcare coverage and access. Whether this excess risk applies to countries with universal healthcare is unclear and the underlying biological mechanisms are unknown. In the prospective United Kingdom (UK) Biobank, we investigated urban-rural regional differences in HF risk and the mechanistic role of biological aging. Multivariable Cox regression was used to estimate the hazard ratios (HRs) and 95% confidence intervals (CIs) of incident HF in relation to residential urban-rural region and a Biological Health Score (BHS) that reflects biological aging from environmental, social, or dietary stressors. We estimated the proportion of the total effect of urban-rural region on HF mediated through BHS. Among 417,441 European participants, 10,332 incident HF cases were diagnosed during the follow-up. Compared to participants in large urban regions of Scotland, those in England/Wales had significantly increased HF risk (smaller urban: HR = 1.83, 95%CI: 1.64-2.03; suburban: HR = 1.77, 95%CI: 1.56-2.01; very rural: HR = 1.61, 95%CI: 1.39-1.85). Additionally, we found a dose-response relationship between increased biological aging and HF risk (HRper 1 SD increase = 1.14 (95%CI: 1.12-1.17). Increased biological aging mediated a notable 6.6% (p < 0.001) of the total effect of urban-rural region on HF. Despite universal healthcare in the UK, disparities in HF risk by region were observed and may be partly explained by environmental, social, or dietary factors related to biological aging. Our study contributes to precision public health by informing potential biological targets for intervention.

Identification and correction for collider bias in a genome-wide association study of diabetes-related heart failure

Type 2 diabetes (T2D) is a major risk factor for heart failure (HF) and has elevated incidence among individuals with HF. Since genetics and HF can independently influence T2D, collider bias may occur when T2D (i.e., collider) is controlled for by design or analysis. Thus, we conducted a genome-wide association study (GWAS) of diabetes-related HF with correction for collider bias. We first performed a GWAS of HF to identify genetic instrumental variables (GIVs) for HF and to enable bidirectional Mendelian randomization (MR) analysis between T2D and HF. We identified 61 genomic loci, significantly associated with all-cause HF in 114,275 individuals with HF and over 1.5 million controls of European ancestry. Using a two-sample bidirectional MR approach with 59 and 82 GIVs for HF and T2D, respectively, we estimated that T2D increased HF risk (odds ratio [OR] 1.07, 95% confidence interval [CI] 1.04-1.10), while HF also increased T2D risk (OR 1.60, 95% CI 1.36-1.88). Then we performed a GWAS of diabetes-related HF corrected for collider bias due to the study design of index cases. After removing the spurious association of TCF7L2 locus due to collider bias, we identified two genome-wide significant loci close to PITX2 (chromosome 4) and CDKN2B-AS1 (chromosome 9) associated with diabetes-related HF in the Million Veteran Program and replicated the associations in the UK Biobank. Our MR findings provide strong evidence that HF increases T2D risk. As a result, collider bias leads to spurious genetic associations of diabetes-related HF, which can be effectively corrected to identify true positive loci.

Myocardial contractility characteristics of hypertrophic cardiomyopathy patients with and without sarcomere mutation.

Hypertrophic cardiomyopathy (HCM) patients with sarcomere mutationshave an increased riskof heart failure and left ventricular (LV)systolicdysfunction. We hypothesize that sarcomere mutation carriers have abnormal myocardial contractility before LV dysfunction. Therefore, we aimed to associate myocardial contractility with identified sarcomere mutations and predict genotyped HCM patients with sarcomere mutation bythree-dimensional speckle tracking imaging (3D-STI). A retrospective analysis of 117 HCM patients identified 32 genotype-positive (G +) and 85 genotype-negative (G-) patients. Genotype-positive patients had higher globe circumferential strain (GCS), globe longitudinal strain (GLS), and globe radial strain (GRS) (p < 0.05), and multivariate logistic regression revealed that these variables were associated with a positive genetic status (p < 0.05). After the propensity matches other possible influencing factors, we developed three models, named Model GCS, Model GLS, and Model GRS, which could identified genotype-positive HCM patients with excellent performance (AUC of 0.855, 0.833, and 0.870 respectively, all p < 0.001). Genotype-positive HCM patients show a higher myocardial hyper-contractility status than patients without sarcomere mutations. When combined with clinical and echocardiographic markers, the 3D-STI parameters can effectively identify the likelihood of genotype-positive HCM.

Clustering of Cardiovascular Risk Factors and Heart Failure in Older Adults from the Brazilian Far North.

Given the aging global population, identifying heart failure (HF) phenotypes has become crucial, as distinct disease characteristics can influence treatment and prognosis in older adults. This study aimed to analyze the association between clustering of cardiovascular risk factors and HF in older adults. A cross-sectional epidemiological study was conducted with 1322 older adults (55% women, mean age 70.4) seen in primary health care. Diagnosis of HF was performed by a cardiologist based on diagnostic tests and medical history. Cardiovascular risk factors included hypertension, diabetes, hypercholesterolemia, and smoking. Using logistic regression, potential associations were tested. Individual risk factor analysis showed that older adults with hypertension, diabetes, or hypercholesterolemia had up to 7.6 times higher odds to have HF. The cluster where older adults had only one risk factor instead of none increased the odds of HF by 53.0%. Additionally, the odds of older patients having HF ranged from 3.59 times for the two-risk factor cluster to 20.61 times for the simultaneous presence of all four factors. The analysis of clusters substantially increasing HF risk in older adults revealed the importance of individualizing subgroups with distinct HF pathophysiologies. The clinical significance of these clusters can be beneficial in guiding a more personalized therapeutic approach.

Cytotoxicity and toxicoproteomics analysis of thiazolidinedione exposure in human-derived cardiomyocytes.

Thiazolidinediones (TZDs) (e.g. pioglitazone and rosiglitazone), known insulin sensitiser agents for type II diabetes mellitus, exhibit controversial effects on cardiac tissue. Despite consensus on their association with increased heart failure risk, limiting TZD use in diabetes management, the underlying mechanisms remain uncharacterised. Herein, we report a comprehensive in vitro investigation utilising a novel toxicoproteomics pipeline coupled with cytotoxicity assays in human adult cardiomyocytes to elucidate mechanistic insights into TZD cardiotoxicity. The cytotoxicity assay findings showed a significant loss of mitochondrial adenosine triphosphate production upon exposure to either TZD agents, which may underpin TZD cardiotoxicity. Our toxicoproteomics analysis revealed that mitochondrial dysfunction primarily stems from oxidative phosphorylation impairment, with distinct signalling mechanisms observed for both agents. The type of cell death differed strikingly between the two agents, with rosiglitazone exhibiting features of caspase-dependent apoptosis and pioglitazone implicating mitochondrial-mediated necroptosis, as evidenced by the protein upregulation in the phosphoglycerate mutase family 5-dynamin-related protein 1 axis. Furthermore, our analysis revealed additional mechanistic aspects of cardiotoxicity, showcasing drug specificity. The downregulation of various proteins involved in protein machinery and protein processing in the endoplasmic reticulum was observed in rosiglitazone-treated cells, implicating proteostasis in the rosiglitazone cardiotoxicity. Regarding pioglitazone, the findings suggested the potential activation of the interplay between the complement and coagulation systems and the disruption of the cytoskeletal architecture, which was primarily mediated through the integrin-signalling pathways responsible for pioglitazone-induced myocardial contractile failure. Collectively, this study unlocks substantial mechanistic insight into TZD cardiotoxicity, providing the rationale for future optimisation of antidiabetic therapies.

Neighborhood Disadvantage and Risk of Heart Failure: The Reasons for Geographic and Racial Differences in Stroke (REGARDS) Study.

Heart failure (HF) affects >6 million US adults, with recent increases in HF hospitalizations. We aimed to investigate the association between neighborhood disadvantage and incident HF events and potential differences by diabetes status. We included 23 645 participants from the REGARDS study (Reasons for Geographic and Racial Differences in Stroke), a prospective cohort of Black and White adults aged ≥45 years living in the continental United States (baseline 2005-2007). Neighborhood disadvantage was assessed using a Z score of 6 census tract variables (2000 US Census) and categorized as quartiles. Incident HF hospitalizations or HF-related deaths through 2017 were adjudicated. Multivariable-adjusted Cox regression was used to examine the association between neighborhood disadvantage and incident HF. Heterogeneity by diabetes was assessed using an interaction term. The mean age was 64.4 years, 39.5% were Black adults, 54.9% females, and 18.8% had diabetes. During a median follow-up of 10.7 years, there were 1125 incident HF events with an incidence rate of 3.3 (quartile 1), 4.7 (quartile 2), 5.2 (quartile 3), and 6.0 (quartile 4) per 1000 person-years. Compared to adults living in the most advantaged neighborhoods (quartile 1), those living in neighborhoods in quartiles 2, 3, and 4 (most disadvantaged) had 1.30 (95% CI, 1.06-1.60), 1.36 (95% CI, 1.11-1.66), and 1.45 (95% CI, 1.18-1.79) times greater hazard of incident HF even after accounting for known confounders. This association did not significantly differ by diabetes status (interaction P=0.59). For adults with diabetes, the adjusted incident HF hazards comparing those in quartile 4 versus quartile 1 was 1.34 (95% CI, 0.92-1.96), and it was 1.50 (95% CI, 1.16-1.94) for adults without diabetes. In this large contemporaneous prospective cohort, neighborhood disadvantage was associated with an increased risk of incident HF events. This increase in HF risk did not differ by diabetes status. Addressing social, economic, and structural factors at the neighborhood level may impact HF prevention.

Correlation of Left Ventricular Diastolic Function with the Clinical Course and Outcome of Acute Myocardial Infarction: A Brief Review

Acute myocardial infarction (AMI) remains a leading cause of morbidity and mortality globally, posing significant challenges in cardiology and internal medicine. AMI is characterized by the sudden interruption of blood flow to a portion of the myocardium, resulting in ischemic injury and myocardial necrosis. This condition presents a wide range of clinical manifestations, from asymptomatic cases to severe complications. Advances in treatment underscore the need for a comprehensive understanding of AMI's path physiology and prognostic indicators to improve patient outcomes. One crucial aspect of myocardial function impacted by AMI is left ventricular diastolic function (LVDF), which involves the heart's ability to relax and fill with blood during diastole. Impaired LVDF can be an early sign of myocardial injury and is a significant determinant of clinical outcomes post-AMI. Ischemic damage to the myocardium can lead to changes in LVDF, affecting relaxation, ventricular filling, and myocardial stiffness, thereby influencing the overall prognosis. Research links LV diastolic dysfunction (LVDD) with various adverse clinical outcomes in AMI patients, including exacerbated heart failure symptoms, adverse ventricular remodeling, and increased risk of chronic heart failure and cardiovascular mortality. Echocardiography, particularly Doppler imaging, is vital for assessing LVDF, with the E/A and E/e' ratios serving as key parameters. An abnormal E/A ratio suggests impaired LV relaxation or increased stiffness, while an elevated E/e' ratio indicates increased LV filling pressures (LVFP) and is associated with worse outcomes. Studies have shown that elevated E/e' ratios predict higher left atrial pressures and increased heart failure risk, correlating with prolonged hospitalization and higher mortality in AMI patients. Conversely, normalization of diastolic parameters can indicate a positive response to therapy and improved recovery. In conclusion, assessing LVDF through echocardiographic parameters like the E/A and E/e' ratios is essential in managing AMI patients. These measures provide valuable insights into LVFP and LVDF, crucial for understanding AMI's clinical course and optimizing patient care. Ongoing research and clinical application of these parameters are vital for enhancing prognostic accuracy and treatment strategies for AMI.

Using multi-omics to explore the genetic causal relationship between colorectal cancer and heart failure in gastrointestinal tumors.

Heart failure (HF) and colorectal cancer are significant public health concerns with substantial morbidity and mortality. Previous studies have indicated a close association between HF and various tumors, including colorectal cancer. Further understanding the potential causal relationship between them could provide insights into their shared pathophysiological mechanisms and inform strategies for prevention and treatment. This study employed a bidirectional Mendelian randomization (MR) approach using genetic variants from large genome-wide association studies (GWAS) as instrumental variables (IVs). The inverse-variance weighted (IVW) method was employed for the MR analysis. Meta-analyses of IVW results from discovery and validation cohorts were performed to enhance the power of detecting causal effects. Sensitivity analyses, including heterogeneity analysis and tests for horizontal pleiotropy, were conducted to test the robustness of the conclusions. Results from the discovery cohort suggest HF is associated with an approximately 30% increased risk of colorectal cancer (OR 1.32, 95% CI 1.03-1.69, P=0.025), although this finding did not reach statistical significance in the validation cohort (OR 1.19, 95% CI 0.97-1.46, P=0.090). However, meta-analysis supports HF as a potential risk factor for colorectal cancer (Pooled OR 1.24, 95% CI 1.06-1.25, P=0.007). Reverse MR analysis found no evidence of colorectal cancer increasing HF risk (Pooled OR 1.03, 95% CI 0.99-1.07, P=0.121). Sensitivity analyses (all P>0.05) indicate robustness against heterogeneity and horizontal pleiotropy. This comprehensive bidirectional MR study provides genetic evidence supporting a causal link between HF and colorectal cancer. The insights gained enhance understanding of their interconnectedness and may guide future research and clinical practices aimed at mitigating their risks through targeted interventions.

Hypertension combined with atherosclerosis increases the risk of heart failure in patients with diabetes.

The increase in heart failure risk in the diabetic population when hypertension and atherosclerosis are both present is still inconclusive. The aim of this study was to explore the effects of hypertension combined with atherosclerosis in diabetic population on the risk of heart failure. We selected 10,711 patients with diabetes who participated in the Kailuan study and completed brachial-ankle pulse wave velocity (baPWV) testing for statistical analysis. The subjects were divided into the non-hypertensive non-atherosclerotic, hypertensive, atherosclerotic, and hypertensive atherosclerotic groups based on their history of hypertension and atherosclerosis. At a median follow-up of 4.15 years, 227 cases of heart failure occurred. Compared with the non-hypertensive non-atherosclerotic group, the multifactorial Cox proportional risk regression model showed that the hazard ratio (HR) for heart failure in the hypertensive atherosclerotic group was 3.08 (95% confidence interval [CI]: 1.32-7.16), whereas the HR decreased to 2.38 (95% CI: 1.01-5.63) after gradual correction of lipid-lowering, glucose-lowering, and antihypertensive drugs. The subgroup analysis and sensitivity analysis were consistent with that of total population. In conclusion, patients with diabetes exposed to both hypertension and atherosclerosis had an increased heart failure risk, which was attenuated by the use of lipid-lowering, glucose-lowering, and antihypertensive drugs.